Model comparison
GPT-4 Turbo vs Llama 3.2 90B
GPT-4 Turbo is the stronger model overall, scoring 30.5 to 27.5 on the Noometry Index.
Last verified . 6 shared benchmarks.
MetaSummary
- They share 6 benchmarks with published results for both. GPT-4 Turbo scores higher in 2 categories and Llama 3.2 90B in 2 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Llama 3.2 90B leads 21.7 to 15.3.
- The biggest single-benchmark swing is MATH Level 5: 46.7% for GPT-4 Turbo and 39.4% for Llama 3.2 90B.
- Llama 3.2 90B has downloadable open weights; the other is API-only.
Side by side
| GPT-4 Turbo | Llama 3.2 90B | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 30.5 | 27.5 |
| Released | 2023-11-06 | 2024-09-24 |
| Weights | Proprietary | Open |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $10 | — |
| Output $ / M tokens | $30 | — |
| Results tracked | 36 | 9 |
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Category by category
Coding Not comparable
GPT-4 Turbo: 33.8 (#249), Llama 3.2 90B: —
| Benchmark | GPT-4 Turbo | Llama 3.2 90B |
|---|---|---|
| WeirdML | 18% | — |
| BigCodeBench Instruct | 48.2% | — |
| LMArena Coding | 1268 | — |
| BigCodeBench Complete | 58.2% | — |
| HumanEval+ | 86.6% | — |
| MBPP+ | 73.3% | — |
Agentic & Tool Use Not comparable
GPT-4 Turbo: —, Llama 3.2 90B: 30.0 (#80)
| Benchmark | GPT-4 Turbo | Llama 3.2 90B |
|---|---|---|
| BALROG | — | 27.3% |
| METR Time Horizons | 36.7% | — |
Reasoning Llama 3.2 90B leads
GPT-4 Turbo: 15.3 (#317), Llama 3.2 90B: 21.7 (#217)
| Benchmark | GPT-4 Turbo | Llama 3.2 90B |
|---|---|---|
| Epoch Capabilities Index | 127.25 | 125.5 |
| SimpleBench | 25.1% | — |
| Chess Puzzles | 6% | — |
| EnigmaEval | — | 0.4% |
| LMArena Hard Prompts | 1251 | — |
| DTBench | 61.6% | — |
| LMCA | 9.8% | — |
| ForecastBench | 59.4 | — |
Math Llama 3.2 90B leads
GPT-4 Turbo: 9.0 (#322), Llama 3.2 90B: 11.1 (#308)
| Benchmark | GPT-4 Turbo | Llama 3.2 90B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 6.7% | 2.6% |
| MATH Level 5 | 46.7% | 39.4% |
| FrontierMath (Tiers 1-3) | 0.7% | — |
| LMArena Math | 1272 | — |
Knowledge GPT-4 Turbo leads
GPT-4 Turbo: 24.3 (#268), Llama 3.2 90B: 21.7 (#274)
| Benchmark | GPT-4 Turbo | Llama 3.2 90B |
|---|---|---|
| GPQA Diamond | 46.6% | 41% |
| MMLU | 81.3% | 80.3% |
| Confabulations | 28.4% | — |
| LMArena Expert | 1223 | — |
Multimodal GPT-4 Turbo leads
GPT-4 Turbo: 30.6 (#110), Llama 3.2 90B: 25.4 (#124)
| Benchmark | GPT-4 Turbo | Llama 3.2 90B |
|---|---|---|
| LMArena Vision | 1090 | 1000 |
| GeoBench | — | 52% |
Multilingual Not comparable
GPT-4 Turbo: 40.5 (#216), Llama 3.2 90B: —
| Benchmark | GPT-4 Turbo | Llama 3.2 90B |
|---|---|---|
| LMArena Non-English | 1245 | — |
| LMArena Chinese | 1242 | — |
| LMArena French | 1276 | — |
| LMArena German | 1259 | — |
| LMArena Japanese | 1194 | — |
| LMArena Korean | 1187 | — |
| LMArena Russian | 1259 | — |
| LMArena Spanish | 1260 | — |
Instruction Following Not comparable
GPT-4 Turbo: 65.8 (#216), Llama 3.2 90B: —
| Benchmark | GPT-4 Turbo | Llama 3.2 90B |
|---|---|---|
| LMArena Instruction Following | 1249 | — |
Long Context Not comparable
GPT-4 Turbo: 38.0 (#206), Llama 3.2 90B: —
| Benchmark | GPT-4 Turbo | Llama 3.2 90B |
|---|---|---|
| LMArena Longer Query | 1254 | — |
Writing & Preference Not comparable
GPT-4 Turbo: 47.7 (#206), Llama 3.2 90B: —
| Benchmark | GPT-4 Turbo | Llama 3.2 90B |
|---|---|---|
| LMArena Text | 1272 | — |
| LMArena Creative Writing | 1269 | — |
| LMArena Multi-Turn | 1267 | — |
Frequently asked questions
Is GPT-4 Turbo better than Llama 3.2 90B?
GPT-4 Turbo is the stronger model overall, scoring 30.5 to 27.5 on the Noometry Index.
How many benchmarks do GPT-4 Turbo and Llama 3.2 90B share?
6 benchmarks have published results for both models. GPT-4 Turbo has 36 scored results on Noometry and Llama 3.2 90B has 9.